Invention Grant
- Patent Title: Machine learning in edge analytics
-
Application No.: US15224439Application Date: 2016-07-29
-
Publication No.: US10460255B2Publication Date: 2019-10-29
- Inventor: Pradeep B. Nagaraju , Adam Jamison Oliner , Brian Matthew Gilmore , Erick Anthony Dean , Jiahan Wang
- Applicant: Splunk Inc.
- Applicant Address: US CA San Francisco
- Assignee: SPLUNK INC.
- Current Assignee: SPLUNK INC.
- Current Assignee Address: US CA San Francisco
- Agency: Perkins Coie LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F11/30

Abstract:
Disclosed is a technique that can be performed by an electronic device. The technique can include generating raw data based on inputs to the electronic device, and sending the raw data or data items over a network to a server computer system. The sent raw data or the data items can include training data. The technique can further include receiving global model data from the server computer system over the network. The global model data may have been derived from the training data in accordance with a machine learning process. The technique can further include generating an updated local model by updating a local model associated with the electronic device based on the received global model data, and processing local data based on the updated local model to generate output data. The local data can include raw data or data items generated based on inputs to the electronic device.
Public/Granted literature
- US20180032908A1 Machine Learning in Edge Analytics Public/Granted day:2018-02-01
Information query